Michael H. Gollob

15.2k total citations · 3 hit papers
134 papers, 6.3k citations indexed

About

Michael H. Gollob is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Michael H. Gollob has authored 134 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Cardiology and Cardiovascular Medicine, 57 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Michael H. Gollob's work include Cardiac electrophysiology and arrhythmias (84 papers), Cardiac Arrhythmias and Treatments (43 papers) and Ion channel regulation and function (40 papers). Michael H. Gollob is often cited by papers focused on Cardiac electrophysiology and arrhythmias (84 papers), Cardiac Arrhythmias and Treatments (43 papers) and Ion channel regulation and function (40 papers). Michael H. Gollob collaborates with scholars based in Canada, United States and Netherlands. Michael H. Gollob's co-authors include David H. Birnie, Robert Lemery, Jason D. Roberts, Martin S. Green, Anthony Tang, Andrew D. Krahn, George J. Klein, Allan C. Skanes, Raymond Yee and Robert J. Roberts and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Michael H. Gollob

127 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG)

2021 302 citations David T. Miller, Kristy Lee et al. Genetics in Medicine profile →
ACMG SF v3.2 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG)

2023 157 citations David T. Miller, Kristy Lee et al. Genetics in Medicine profile →
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association

2024 106 citations Antonis A. Armoundas, Sanjiv M. Narayan et al. Circulation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael H. Gollob Canada	40	4.6k	2.4k	855	636	240	134	6.3k
Jonas B. Nielsen Denmark	37	2.6k 0.6×	1.3k 0.5×	694 0.8×	640 1.0×	156 0.7×	118	5.0k
Richard D. Patten United States	30	2.0k 0.4×	1.2k 0.5×	517 0.6×	342 0.5×	213 0.9×	53	3.8k
Martin van Eickels Germany	33	4.7k 1.0×	760 0.3×	534 0.6×	574 0.9×	275 1.1×	72	6.0k
Keijo Peuhkurinen Finland	37	3.2k 0.7×	1.6k 0.7×	855 1.0×	153 0.2×	305 1.3×	129	5.3k
Mónica Rupérez Spain	27	1.7k 0.4×	1.4k 0.6×	408 0.5×	243 0.4×	321 1.3×	29	4.0k
Hiroshi Kasanuki Japan	42	3.7k 0.8×	1.7k 0.7×	1.7k 2.0×	151 0.2×	440 1.8×	252	5.9k
Stephan Holmer Germany	29	2.1k 0.5×	711 0.3×	452 0.5×	359 0.6×	278 1.2×	80	3.2k
Ratnadeep Basu Canada	35	2.2k 0.5×	1.2k 0.5×	713 0.8×	101 0.2×	366 1.5×	52	4.1k
Sekar Kathiresan United States	37	1.9k 0.4×	1.6k 0.7×	1.4k 1.6×	2.2k 3.4×	431 1.8×	74	6.4k
Seibu Mochizuki Japan	27	1.6k 0.3×	783 0.3×	691 0.8×	177 0.3×	278 1.2×	136	3.0k

Countries citing papers authored by Michael H. Gollob

Since Specialization

Citations

This map shows the geographic impact of Michael H. Gollob's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael H. Gollob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Gollob more than expected).

Fields of papers citing papers by Michael H. Gollob

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Gollob. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael H. Gollob. The network helps show where Michael H. Gollob may publish in the future.

Co-authorship network of co-authors of Michael H. Gollob

This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Gollob. A scholar is included among the top collaborators of Michael H. Gollob based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael H. Gollob. Michael H. Gollob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mann, Tomer, Arthur Bergman, Christian van der Werf, et al.. (2025). Flecainide for the Treatment of Andersen-Tawil Syndrome. JACC. Clinical electrophysiology. 11(7). 1511–1518.

Gordon, Allan, Kristy Lee, Noura S. Abul‐Husn, et al.. (2024). Consideration of disease penetrance in the selection of secondary findings gene-disease pairs: A policy statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 26(7). 101142–101142. 8 indexed citations

Armoundas, Antonis A., Sanjiv M. Narayan, Donna K. Arnett, et al.. (2024). Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association. Circulation. 149(14). e1028–e1050. 106 indexed citations breakdown →

Walsh, Roddy, Arnon Adler, Ahmad S. Amin, et al.. (2021). Evaluation of gene validity for CPVT and short QT syndrome in sudden arrhythmic death. European Heart Journal. 43(15). 1500–1510. 71 indexed citations

Li, Yanhui, Jinhong Wei, Wenting Guo, et al.. (2021). Human RyR2 (Ryanodine Receptor 2) Loss-of-Function Mutations. Circulation Arrhythmia and Electrophysiology. 14(9). e010013–e010013. 18 indexed citations

Miller, David T., Kristy Lee, Allan Gordon, et al.. (2021). Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2021 update: a policy statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 23(8). 1391–1398. 142 indexed citations

Hu, Dan, Dan Hu, Dong Hu, et al.. (2020). Identification, clinical manifestation and structural mechanisms of mutations in AMPK associated cardiac glycogen storage disease. EBioMedicine. 54. 102723–102723. 17 indexed citations

Adler, Arnon, Mouhannad M. Sadek, Anita Y.M. Chan, et al.. (2016). Patient Outcomes From a Specialized Inherited Arrhythmia Clinic. Circulation Arrhythmia and Electrophysiology. 9(1). e003440–e003440. 16 indexed citations

Villafañe, Juan, Joseph Atallah, Michael H. Gollob, et al.. (2013). Long-Term Follow-Up of a Pediatric Cohort With Short QT Syndrome. Journal of the American College of Cardiology. 61(11). 1183–1191. 57 indexed citations

10.

Perrin, Mark J., Paul Angaran, Zachary Laksman, et al.. (2013). Exercise Testing in Asymptomatic Gene Carriers Exposes a Latent Electrical Substrate of Arrhythmogenic Right Ventricular Cardiomyopathy. Journal of the American College of Cardiology. 62(19). 1772–1779. 48 indexed citations

11.

Roberts, Jason D., George A. Wells, Michel R. Le May, et al.. (2012). Point-of-care genetic testing for personalisation of antiplatelet treatment (RAPID GENE): a prospective, randomised, proof-of-concept trial. The Lancet. 379(9827). 1705–1711. 276 indexed citations

12.

Sy, Raymond W., Michael H. Gollob, George J. Klein, et al.. (2011). Arrhythmia characterization and long-term outcomes in catecholaminergic polymorphic ventricular tachycardia. Heart Rhythm. 8(6). 864–871. 126 indexed citations

13.

Gollob, Michael H., Calum J. Redpath, & Jason D. Roberts. (2011). The Short QT Syndrome. Journal of the American College of Cardiology. 57(7). 802–812. 183 indexed citations

14.

Derval, Nicolas, Christopher S. Simpson, David H. Birnie, et al.. (2011). Prevalence and Characteristics of Early Repolarization in the CASPER Registry. Journal of the American College of Cardiology. 58(7). 722–728. 100 indexed citations

15.

Redpath, Calum J., Christie Sambell, Ian G. Stiell, et al.. (2010). In-hospital mortality in 13,263 survivors of out-of-hospital cardiac arrest in Canada. American Heart Journal. 159(4). 577–583.e1. 12 indexed citations

16.

Roberts, Jason D. & Michael H. Gollob. (2010). Impact of Genetic Discoveries on the Classification of Lone Atrial Fibrillation. Journal of the American College of Cardiology. 55(8). 705–712. 60 indexed citations

17.

Krahn, Andrew D., Jeff S. Healey, Vijay S. Chauhan, et al.. (2009). Systematic Assessment of Patients With Unexplained Cardiac Arrest. Circulation. 120(4). 278–285. 209 indexed citations

18.

Farwell, David, Calum J. Redpath, David H. Birnie, et al.. (2008). Inappropriate implantable cardioverter defibrillator shocks in fractured Sprint Fidelis leads associated with 'appropriate' interrogation. EP Europace. 10(6). 726–728. 5 indexed citations

19.

Mohamed, U., Michael H. Gollob, Robert M. Gow, & Andrew D. Krahn. (2006). Sudden cardiac death despite an implantable cardioverter-defibrillator in a young female with catecholaminergic ventricular tachycardia. Heart Rhythm. 3(12). 1486–1489. 88 indexed citations

20.

Skanes, Allan C., et al.. (2005). An Unusual Accessory Pathway: Anteroseptal to Ventricular Outflow Region Connection. Journal of Cardiovascular Electrophysiology. 16(5). 546–551. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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